Predicting in-hospital mortality in patients with heart failure combined with atrial fibrillation using stacking ensemble model: an analysis of the medical information mart for intensive care IV (MIMIC-IV)
The stacking ensemble model showed a good predictive effect in predicting in-hospital mortality in patients with HF combined with AF and may provide clinicians with a reference tool for early identification of mortality risk.
Authors
- Yingjie Chu (ORCID: https://orcid.org/0000-0001-5102-7981)
- Yujie Zhao (ORCID: https://orcid.org/0000-0002-4585-1445)
- Junhua Sun
- Panpan Chen (ORCID: https://orcid.org/0000-0002-6992-7248)
Institutions
- Henan Provincial People's Hospital (CN)
- Zhengzhou People's Hospital (CN)
Publication Details
- Journal
- BMC Medical Informatics and Decision Making
- Published
- 2024-12-23
- DOI
- https://doi.org/10.1186/s12911-024-02829-0
- Citations
- 5
- Primary Topic
- Machine Learning in Healthcare
- Type
- article
- Field-Weighted Citation Impact
- 1.74